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Cited by 180

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

An all-round AI-Chemist with a scientific mind

Open access
Zhu, Qing, Zhang, Fei, Huang, Yan, Xiao, Hengyu, Zhao, LuYuan, Zhang, XuChun, Song, Tao, Tang, XinSheng, Li, Xiang, He, Guo, Chong, BaoChen, Zhou, JunYi, Zhang, YiHan, Zhang, Baicheng, Cao, JiaQi, Luo, Man, Wang, Song, Ye, GuiLin, Zhang, WanJun, Chen, Xin, Cong, Shuang, Zhou, Donglai, Li, Huirong, Li, Jialei, Zou, Gang, Shang, WeiWei, Jiang, Jun, Luo, Yi·2022·National Science Review
DOI 10.1093/nsr/nwac190
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Abstract

The realization of automated chemical experiments by robots unveiled the prelude to an artificial intelligence (AI) laboratory. Several AI-based systems or robots with specific chemical skills have been demonstrated, but conducting all-round scientific research remains challenging. Here, we present an all-round AI-Chemist equipped with scientific data intelligence that is capable of performing basic tasks generally required in chemical research. Based on a service platform, the AI-Chemist is able to automatically read the literatures from a cloud database and propose experimental plans accordingly. It can control a mobile robot in-house or online to automatically execute the complete experimental process on 14 workstations, including synthesis, characterization and performance tests. The experimental data can be simultaneously analysed by the computational brain of the AI-Chemist through machine learning and Bayesian optimization, allowing a new hypothesis for the next iteration to be proposed. The competence of the AI-Chemist has been scrutinized by three different chemical tasks. In the future, the more advanced all-round AI-Chemists equipped with scientific data intelligence may cause changes to the landscape of the chemical laboratory.

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Metadata

Authors
Zhu, Q., Zhang, F., Huang, Y., Xiao, H., Zhao, L., Zhang, X., Song, T., Tang, X., Li, X., He, G., Chong, B., Zhou, J., Zhang, Y., Zhang, B., Cao, J., Luo, M., Wang, S., Ye, G., Zhang, W., Chen, X., Cong, S., Zhou, D., Li, H., Li, J., Zou, G., Shang, W., Jiang, J., & Luo, Y.
Venue
National Science Review
Publisher
Oxford University Press (OUP)
Published
2022-09-08
Volume
9
Issue
10
Pages
nwac190-nwac190
ISSN
  • 2053-714X (ISSN-L)
  • 2095-5138
DOI
10.1093/nsr/nwac190
OpenAlex
W4296154431
Cited by
180
References
3
FWCI
9.51
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • National Key Research and Development Program of China (2018YFA0208603)
  • CAS (YSBR-005)
  • National Natural Science Foundation of China (22025304, 22033007, 21633007, 21790350, 22103076)
  • NCCR Quantum Science and Technology (2021ZD0303303)
  • Anhui Provincial Natural Science Foundation (2108085QB63)

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CoChat. (2026). Citation check: An all-round AI-Chemist with a scientific mind. https://app.cochat.ai/papers/10.1093/nsr/nwac190
The paper
Zhu, Q., Zhang, F., Huang, Y., Xiao, H., Zhao, L., Zhang, X., Song, T., Tang, X., Li, X., He, G., Chong, B., Zhou, J., Zhang, Y., Zhang, B., Cao, J., Luo, M., Wang, S., Ye, G., Zhang, W., . . . Luo, Y. (2022). An all-round AI-Chemist with a scientific mind. National Science Review. https://doi.org/10.1093/nsr/nwac190

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